Upload TFEsmForTokenClassification

README.md

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+---
+license: mit
+base_model: facebook/esm2_t12_35M_UR50D
+tags:
+- generated_from_keras_callback
+model-index:
+- name: esm2_t12_35M_UR50D-finetuned-glycosylation-classification
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# esm2_t12_35M_UR50D-finetuned-glycosylation-classification
+
+This model is a fine-tuned version of [facebook/esm2_t12_35M_UR50D](https://huggingface.co/facebook/esm2_t12_35M_UR50D) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0134
+- Train Masked Accuracy: 0.9966
+- Validation Loss: 0.0098
+- Validation Masked Accuracy: 0.9978
+- Epoch: 2
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.0}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Masked Accuracy | Validation Loss | Validation Masked Accuracy | Epoch |
+|:----------:|:---------------------:|:---------------:|:--------------------------:|:-----:|
+| 0.2548     | 0.8934                | 0.0419          | 0.9930                     | 0     |
+| 0.0364     | 0.9928                | 0.0227          | 0.9930                     | 1     |
+| 0.0134     | 0.9966                | 0.0098          | 0.9978                     | 2     |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- TensorFlow 2.13.0
+- Datasets 2.14.5
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "facebook/esm2_t12_35M_UR50D",
+  "architectures": [
+    "EsmForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "classifier_dropout": null,
+  "emb_layer_norm_before": false,
+  "esmfold_config": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 480,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 1920,
+  "is_folding_model": false,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "layer_norm_eps": 1e-05,
+  "mask_token_id": 32,
+  "max_position_embeddings": 1026,
+  "model_type": "esm",
+  "num_attention_heads": 20,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "position_embedding_type": "rotary",
+  "token_dropout": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.2",
+  "use_cache": true,
+  "vocab_list": null,
+  "vocab_size": 33
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:80ddc0df9947595807a0df1cccc58b690e81cbe817dc927caa4fb1d168949592
+size 133389968